## Summary
This PR fixes restricted filesystem permission profiles so Codex's
runtime-managed helper executables remain readable without requiring
explicit user configuration.
- add implicit readable roots for the configured `zsh` helper path and
the main execve wrapper
- allowlist the shared `$CODEX_HOME/tmp/arg0` root when the execve
wrapper lives there, so session-specific helper paths keep working
- dedupe injected paths and avoid adding duplicate read entries to the
sandbox policy
- add regression coverage for restricted read mode with helper
executable overrides
## Testing
before this change: got this error when executing a shell command via
zsh fork:
```
"sandbox error: sandbox denied exec error, exit code: 127, stdout: , stderr: /etc/zprofile:11: operation not permitted: /usr/libexec/path_helper\nzsh:1: operation not permitted: .codex/skills/proxy-a/scripts/fetch_example.sh\n"
```
saw this change went away after this change, meaning the readable roots
and injected correctly.
## Summary
This lets skill loading split `permissions.network` into two distinct
pieces:
- `permissions.network.enabled` still feeds the skill
`PermissionProfile` and remains the coarse gate for whether the skill
can use network access at all.
- `permissions.network.allowed_domains` and
`permissions.network.denied_domains` are lifted into a new
`SkillManagedNetworkOverride` so managed-network sessions can start
per-skill scoped proxies with the right domain overrides.
The change also updates `SkillMetadata` construction sites and adds
loader tests covering YAML parsing plus normalization of the network
gate vs. domain override fields.
## Follow-up
A PR that uses the network_override to spin up a skill-specific proxy if
network_override is not none.
## Summary
- add `skill_approval` to `RejectConfig` and the app-server v2
`AskForApproval::Reject` payload so skill-script prompts can be
configured independently from sandbox and rule-based prompts
- update Unix shell escalation to reject prompts based on the actual
decision source, keeping prefix rules tied to `rules`, unmatched command
fallbacks tied to `sandbox_approval`, and skill scripts tied to
`skill_approval`
- regenerate the affected protocol/config schemas and expand
unit/integration coverage for the new flag and skill approval behavior
## Summary
- distinguish reject-policy handling for prefix-rule approvals versus
sandbox approvals in Unix shell escalation
- keep prompting for skill-script execution when `rules=true` but
`sandbox_approval=false`, instead of denying the command up front
- add regression coverage for both skill-script reject-policy paths in
`codex-rs/core/tests/suite/skill_approval.rs`
## Summary
- Treat skill scripts with no permission profile, or an explicitly empty
one, as permissionless and run them with the turn's existing sandbox
instead of forcing an exec approval prompt.
- Keep the approval flow unchanged for skills that do declare additional
permissions.
- Update the skill approval tests to assert that permissionless skill
scripts do not prompt on either the initial run or a rerun.
## Why
Permissionless skills should inherit the current turn sandbox directly.
Prompting for exec approval in that case adds friction without granting
any additional capability.
## Summary
This PR:
1. fixes a deserialization mismatch for macOS automation permissions in
approval payloads by making core parsing accept both supported wire
shapes for bundle IDs.
2. added `#[serde(default)]` to `MacOsSeatbeltProfileExtensions` so
omitted fields deserialize to secure defaults.
## Why this change is needed
`MacOsAutomationPermission` uses `#[serde(try_from =
"MacOsAutomationPermissionDe")]`, so deserialization is controlled by
`MacOsAutomationPermissionDe`. After we aligned v2
`additionalPermissions.macos.automations` to the core shape, approval
payloads started including `{ "bundle_ids": [...] }` in some paths.
`MacOsAutomationPermissionDe` previously accepted only `"none" | "all"`
or a plain array, so object-shaped bundle IDs failed with `data did not
match any variant of untagged enum MacOsAutomationPermissionDe`. This
change restores compatibility by accepting both forms while preserving
existing normalization behavior (trim values and map empty bundle lists
to `None`).
## Validation
saw this error went away when running
```
cargo run -p codex-app-server-test-client -- \
--codex-bin ./target/debug/codex \
-c 'approval_policy="on-request"' \
-c 'features.shell_zsh_fork=true' \
-c 'zsh_path="/tmp/codex-zsh-fork/package/vendor/aarch64-apple-darwin/zsh/macos-15/zsh"' \
send-message-v2 --experimental-api \
'Use $apple-notes and run scripts/notes_info now.'
```
:
```
Error: failed to deserialize ServerRequest from JSONRPCRequest
Caused by:
data did not match any variant of untagged enum MacOsAutomationPermissionDe
```
## Summary
This PR removes legacy macOS permission model types from
`codex-rs/protocol/src/models.rs`:
- `MacOsPermissions`
- `MacOsPreferencesValue`
- `MacOsAutomationValue`
The protocol now relies on the current `MacOsSeatbeltProfileExtensions`
model for macOS permission data.
## Summary
This changes the Unix shell escalation path for skill-matched
executables to apply a skill's `PermissionProfile` as additive
permissions on top of the existing turn/request sandbox policy.
Previously, skill-matched executables compiled the skill permission
profile into a standalone sandbox policy and executed against that
replacement policy. Now they go through the same
`additional_permissions` merge path used elsewhere in shell sandbox
preparation.
## What Changed
- Changed `skill_escalation_execution()` to return
`EscalationPermissions::PermissionProfile(...)` for non-empty skill
permission profiles.
- Kept empty or missing skill permission profiles on the `TurnDefault`
path.
- Added tests covering the new additive skill-permission behavior.
- Added inline comments in `prepare_escalated_exec()` clarifying the
difference between additive permission merging and fully specified
replacement sandbox policies.
- Removed the now-unused skill permission compiler module after
switching this path away from standalone compiled skill sandbox
policies.
## Testing
- Ran `just fmt` in `codex-rs`
- Ran `cargo test -p codex-core`
`cargo test -p codex-core` still hits an unrelated existing failure:
`shell_snapshot::tests::snapshot_shell_does_not_inherit_stdin`
## Follow-up
This change intentionally does not merge skill-specific macOS seatbelt
profile extensions through the `additional_permissions` path yet.
Filesystem and network permissions now follow the additive merge path,
but seatbelt extension permissions still need separate handling in a
follow-up PR.
## Summary
Changes the permission profile shape from a bare network boolean to a
nested object.
Before:
```yaml
permissions:
network: true
```
After:
```yaml
permissions:
network:
enabled: true
```
This also updates the shared Rust and app-server protocol types so
`PermissionProfile.network` is no longer `Option<bool>`, but
`Option<NetworkPermissions>` with `enabled: Option<bool>`.
## What Changed
- Updated `PermissionProfile` in `codex-rs/protocol/src/models.rs`:
- `pub network: Option<bool>` -> `pub network:
Option<NetworkPermissions>`
- Added `NetworkPermissions` with:
- `pub enabled: Option<bool>`
- Changed emptiness semantics so `network` is only considered empty when
`enabled` is `None`
- Updated skill metadata parsing to accept `permissions.network.enabled`
- Updated core permission consumers to read
`network.enabled.unwrap_or(false)` where a concrete boolean is needed
- Updated app-server v2 protocol types and regenerated schema/TypeScript
outputs
- Updated docs to mention `additionalPermissions.network.enabled`
## Summary
`PermissionProfile.network` could not be preserved when additional or
compiled permissions resolved to
`SandboxPolicy::ReadOnly`, because `ReadOnly` had no network_access
field. This change makes read-only + network
enabled representable directly and threads that through the protocol,
app-server v2 mirror, and permission-
merging logic.
## What changed
- Added `network_access: bool` to `SandboxPolicy::ReadOnly` in the core
protocol and app-server v2 protocol.
- Kept backward compatibility by defaulting the new field to false, so
legacy read-only payloads still
deserialize unchanged.
- Updated `has_full_network_access()` and sandbox summaries to respect
read-only network access.
- Preserved PermissionProfile.network when:
- compiling skill permission profiles into sandbox policies
- normalizing additional permissions
- merging additional permissions into existing sandbox policies
- Updated the approval overlay to show network in the rendered
permission rule when requested.
- Regenerated app-server schema fixtures for the new v2 wire shape.
## Summary
This change removes the compiled permissions field from skill metadata
and keeps permission_profile as the single source of truth.
Skill loading no longer compiles skill permissions eagerly. Instead, the
zsh-fork skill escalation path compiles `skill.permission_profile` when
it needs to determine the sandbox to apply for a skill script.
## Behavior change
For skills that declare:
```
permissions: {}
```
we now treat that the same as having no skill permissions override,
instead of creating and using a default readonly sandbox. This change
makes the behavior more intuitive:
- only non-empty skill permission profiles affect sandboxing
- omitting permissions and writing permissions: {} now mean the same
thing
- skill metadata keeps a single permissions representation instead of
storing derived state too
Overall, this makes skill sandbox behavior easier to understand and more
predictable.
## Summary
This PR includes the session's local date and timezone in the
model-visible environment context and persists that data in
`TurnContextItem`.
## What changed
- captures the current local date and IANA timezone when building a turn
context, with a UTC fallback if the timezone lookup fails
- includes current_date and timezone in the serialized
<environment_context> payload
- stores those fields on TurnContextItem so they survive rollout/history
handling, subagent review threads, and resume flows
- treats date/timezone changes as environment updates, so prompt caching
and context refresh logic do not silently reuse stale time context
- updates tests to validate the new environment fields without depending
on a single hardcoded environment-context string
## test
built a local build and saw it in the rollout file:
```
{"timestamp":"2026-02-26T21:39:50.737Z","type":"response_item","payload":{"type":"message","role":"user","content":[{"type":"input_text","text":"<environment_context>\n <shell>zsh</shell>\n <current_date>2026-02-26</current_date>\n <timezone>America/Los_Angeles</timezone>\n</environment_context>"}]}}
```
This reverts commit https://github.com/openai/codex/pull/12633. We no
longer need this PR, because we favor sending normal exec command
approval server request with `additional_permissions` of skill
permissions instead
This reverts commit daf0f03ac8.
# External (non-OpenAI) Pull Request Requirements
Before opening this Pull Request, please read the dedicated
"Contributing" markdown file or your PR may be closed:
https://github.com/openai/codex/blob/main/docs/contributing.md
If your PR conforms to our contribution guidelines, replace this text
with a detailed and high quality description of your changes.
Include a link to a bug report or enhancement request.
## Summary
- Preserve each skill’s raw permissions block as a permission_profile on
SkillMetadata during skill loading.
- Keep compiling that same metadata into the existing runtime
Permissions object, so current enforcement
behavior stays intact.
- When zsh-fork intercepts execution of a script that belongs to a
skill, include the skill’s
permission_profile in the exec approval request.
- This lets approval UIs show the extra filesystem access the skill
declared when prompting for approval.
This PR replaces the old `additional_permissions.fs_read/fs_write` shape
with a shared `PermissionProfile`
model and wires it through the command approval, sandboxing, protocol,
and TUI layers. The schema is adopted from the
`SkillManifestPermissions`, which is also refactored to use this unified
struct. This helps us easily expose permission profiles in app
server/core as a follow-up.
Problem:
1. turn id is constructed in-memory;
2. on resuming threads, turn_id might not be unique;
3. client cannot no the boundary of a turn from rollout files easily.
This PR does three things:
1. persist `task_started` and `task_complete` events;
1. persist `turn_id` in rollout turn events;
5. generate turn_id as unique uuids instead of incrementing it in
memory.
This helps us resolve the issue of clients wanting to have unique turn
ids for resuming a thread, and knowing the boundry of each turn in
rollout files.
example debug logs
```
2026-02-11T00:32:10.746876Z DEBUG codex_app_server_protocol::protocol::thread_history: built turn from rollout items turn_index=8 turn=Turn { id: "019c4a07-d809-74c3-bc4b-fd9618487b4b", items: [UserMessage { id: "item-24", content: [Text { text: "hi", text_elements: [] }] }, AgentMessage { id: "item-25", text: "Hi. I’m in the workspace with your current changes loaded and ready. Send the next task and I’ll execute it end-to-end." }], status: Completed, error: None }
2026-02-11T00:32:10.746888Z DEBUG codex_app_server_protocol::protocol::thread_history: built turn from rollout items turn_index=9 turn=Turn { id: "019c4a18-1004-76c0-a0fb-a77610f6a9b8", items: [UserMessage { id: "item-26", content: [Text { text: "hello", text_elements: [] }] }, AgentMessage { id: "item-27", text: "Hello. Ready for the next change in `codex-rs`; I can continue from the current in-progress diff or start a new task." }], status: Completed, error: None }
2026-02-11T00:32:10.746899Z DEBUG codex_app_server_protocol::protocol::thread_history: built turn from rollout items turn_index=10 turn=Turn { id: "019c4a19-41f0-7db0-ad78-74f1503baeb8", items: [UserMessage { id: "item-28", content: [Text { text: "hello", text_elements: [] }] }, AgentMessage { id: "item-29", text: "Hello. Send the specific change you want in `codex-rs`, and I’ll implement it and run the required checks." }], status: Completed, error: None }
```
backward compatibility:
if you try to resume an old session without task_started and
task_complete event populated, the following happens:
- If you resume and do nothing: those reconstructed historical IDs can
differ next time you resume.
- If you resume and send a new turn: the new turn gets a fresh UUID from
live submission flow and is persisted, so that new turn’s ID is stable
on later resumes.
I think this behavior is fine, because we only care about deterministic
turn id once a turn is triggered.
Persist thread_dynamic_tools in sqlite and read first from it. Fall back
to rollout files if it's not found. Persist dynamic tools to both sqlite
and rollout files.
Saw that new sessions get populated to db correctly & old sessions get
backfilled correctly at startup:
```
celia@com-92114 codex-rs % sqlite3 ~/.codex/state.sqlite \ "select thread_id, position,name,description,input_schema from thread_dynamic_tools;"
019c0cad-ec0d-74b2-a787-e8b33a349117|0|geo_lookup|lookup a city|{"properties":{"city":{"type":"string"}},"required":["city"],"type":"object"}
....
019c10ca-aa4b-7620-ae40-c0919fbd7ea7|0|geo_lookup|lookup a city|{"properties":{"city":{"type":"string"}},"required":["city"],"type":"object"}
```
Add dynamic tools to rollout file for persistence & read from rollout on
resume. Ran a real example and spotted the following in the rollout
file:
```
{"timestamp":"2026-01-29T01:27:57.468Z","type":"session_meta","payload":{"id":"019c075d-3f0b-77e3-894e-c1c159b04b1e","timestamp":"2026-01-29T01:27:57.451Z","...."dynamic_tools":[{"name":"demo_tool","description":"Demo dynamic tool","inputSchema":{"additionalProperties":false,"properties":{"city":{"type":"string"}},"required":["city"],"type":"object"}}],"git":{"commit_hash":"ebc573f15c01b8af158e060cfedd401f043e9dfa","branch":"dev/cc/dynamic-tools","repository_url":"https://github.com/openai/codex.git"}}}
```
Fix flakiness of CI test:
https://github.com/openai/codex/actions/runs/20350530276/job/58473691434?pr=8282
This PR does two things:
1. move the flakiness test to use responses API instead of chat
completion API
2. make mcp_process agnostic to the order of
responses/notifications/requests that come in, by buffering messages not
read
Fix flakiness of CI tests:
https://github.com/openai/codex/actions/runs/20350530276/job/58473691443?pr=8282
This PR does two things:
1. test with responses API instead of chat completions API in
thread_resume tests;
2. have a new responses API fixture that mocks out arbitrary numbers of
responses API calls (including no calls) and have the same repeated
response.
Tested by CI
Add a dmg target that bundles the codex and codex responses api proxy
binaries for MacOS. this target is signed and notarized.
Verified by triggering a build here:
https://github.com/openai/codex/actions/runs/20318136302/job/58367155205.
Downloaded the artifact and verified that the dmg is signed and
notarized, and the codex binary contained works as expected.
Our previous design of cancellation endpoint is not idempotent, which
caused a bunch of flaky tests. Make app server just returned a not_found
status instead of throwing an error if the login id is not found. Keep
V1 endpoint behavior the same.
Make sure that config writes preserve comments and order of configs by
utilizing the ConfigEditsBuilder in core.
Tested by running a real example and made sure that nothing in the
config file changes other than the configs to edit.
When we are writing to config using `config/value/write` or
`config/batchWrite`, it always require a `config/read` before it right
now in order to get the correct file path to write to. make this
optional so we read from the default user config file if this is not
passed in.
Add a new endpoint that allows us to test multi-turn behavior.
Tested with running:
```
RUST_LOG=codex_app_server=debug CODEX_BIN=target/debug/codex \
cargo run -p codex-app-server-test-client -- \
send-follow-up-v2 "hello" "and now a follow-up question"
```
This reverts commit c2ec477d93.
# External (non-OpenAI) Pull Request Requirements
Before opening this Pull Request, please read the dedicated
"Contributing" markdown file or your PR may be closed:
https://github.com/openai/codex/blob/main/docs/contributing.md
If your PR conforms to our contribution guidelines, replace this text
with a detailed and high quality description of your changes.
Include a link to a bug report or enhancement request.
similar to logic in
`codex/codex-rs/exec/src/event_processor_with_jsonl_output.rs`.
translation of v1 -> v2 events:
`codex/event/task_complete` -> `turn/completed`
`codex/event/turn_aborted` -> `turn/completed` with `interrupted` status
`codex/event/error` -> `turn/completed` with `error` status
this PR also makes `items` field in `Turn` optional. For now, we only
populate it when we resume a thread, and leave it as None for all other
places until we properly rewrite core to keep track of items.
tested using the codex app server client. example new event:
```
< {
< "method": "turn/completed",
< "params": {
< "turn": {
< "id": "0",
< "items": [],
< "status": "interrupted"
< }
< }
< }
```
core event to app server event mapping:
1. `codex/event/reasoning_content_delta` ->
`item/reasoning/summaryTextDelta`.
2. `codex/event/reasoning_raw_content_delta` ->
`item/reasoning/textDelta`
3. `codex/event/agent_message_content_delta` →
`item/agentMessage/delta`.
4. `codex/event/agent_reasoning_section_break` ->
`item/reasoning/summaryPartAdded`.
Also added a change in core to pass down content index, summary index
and item id from events.
Tested with the `git checkout owen/app_server_test_client && cargo run
-p codex-app-server-test-client -- send-message-v2 "hello"` and verified
that new events are emitted correctly.
This one should be quite straightforward, as it's just a translation of
TurnItem events we already emit to ThreadItem that app-server exposes to
customers.
To test, cp my change to owen/app_server_test_client and do the
following:
```
cargo build -p codex-cli
RUST_LOG=codex_app_server=info CODEX_BIN=target/debug/codex cargo run -p codex-app-server-test-client -- send-message-v2 "hello"
```
example event before (still kept there for backward compatibility):
```
{
< "method": "codex/event/item_completed",
< "params": {
< "conversationId": "019a74cc-fad9-7ab3-83a3-f42827b7b074",
< "id": "0",
< "msg": {
< "item": {
< "Reasoning": {
< "id": "rs_03d183492e07e20a016913a936eb8c81a1a7671a103fee8afc",
< "raw_content": [],
< "summary_text": [
< "Hey! What would you like to work on? I can explore the repo, run specific tests, or implement a change. Let's keep it short and straightforward. There's no need for a lengthy introduction or elaborate planning, just a friendly greeting and an open offer to help. I want to make sure the user feels welcomed and understood right from the start. It's all about keeping the tone friendly and concise!"
< ]
< }
< },
< "thread_id": "019a74cc-fad9-7ab3-83a3-f42827b7b074",
< "turn_id": "0",
< "type": "item_completed"
< }
< }
< }
```
after (v2):
```
< {
< "method": "item/completed",
< "params": {
< "item": {
< "id": "rs_03d183492e07e20a016913a936eb8c81a1a7671a103fee8afc",
< "text": "Hey! What would you like to work on? I can explore the repo, run specific tests, or implement a change. Let's keep it short and straightforward. There's no need for a lengthy introduction or elaborate planning, just a friendly greeting and an open offer to help. I want to make sure the user feels welcomed and understood right from the start. It's all about keeping the tone friendly and concise!",
< "type": "reasoning"
< }
< }
< }
```
This PR does two things:
1. add a new function in core that maps the core-internal plan type to
the external plan type;
2. implement account/read that get account status (v2 of
`getAuthStatus`).
This PR implements `account/login/start` and `account/login/completed`.
Instead of having separate endpoints for login with chatgpt and api, we
have a single enum handling different login methods. For sync auth
methods like sign in with api key, we still send a `completed`
notification back to be compatible with the async login flow.
V2 for `account/updated` and `account/logout` for app server. correspond
to old `authStatusChange` and `LogoutChatGpt` respectively. Followup PRs
will make other v2 endpoints call `account/updated` instead of
`authStatusChange` too.
There's still some debate about whether we want to expose
`tools.view_image` or `feature.view_image` so those are left unchanged
for now, but this old `include_view_image_tool` config is good-to-go.
Also updated the doc to reflect that `view_image` tool is now by default
true.
This PR is a follow-up to #5591. It allows users to choose which auth
storage mode they want by using the new
`cli_auth_credentials_store_mode` config.
Follow-up PR to #5569. Add Keyring Support for Auth Storage in Codex CLI
as well as a hybrid mode (default to persisting in keychain but fall
back to file when unavailable.)
It also refactors out the keyringstore implementation from rmcp-client
[here](https://github.com/openai/codex/blob/main/codex-rs/rmcp-client/src/oauth.rs)
to a new keyring-store crate.
There will be a follow-up that picks the right credential mode depending
on the config, instead of hardcoding `AuthCredentialsStoreMode::File`.
This PR introduces a new `Auth Storage` abstraction layer that takes
care of read, write, and load of auth tokens based on the
AuthCredentialsStoreMode. It is similar to how we handle MCP client
oauth
[here](https://github.com/openai/codex/blob/main/codex-rs/rmcp-client/src/oauth.rs).
Instead of reading and writing directly from disk for auth tokens, Codex
CLI workflows now should instead use this auth storage using the public
helper functions.
This PR is just a refactor of the current code so the behavior stays the
same. We will add support for keyring and hybrid mode in follow-up PRs.
I have read the CLA Document and I hereby sign the CLA
Celia ChenandGitHub
